ObjectiveThis study reconceptualized trait resilience, defining it as a network of systems; utilizing direct resilience assessments—engineering, ecological, adaptive capacity, social cohesion—and proxy resilience assessments—personality, cognitive, emotional, eudaimonia, and health.BackgroundThe background of the study addresses the fragmented conceptualization of trait resilience by proposing a unifying network model based on ecological systems theory, illustrating the dynamic interplay of resilience factors across varying levels of disturbance.MethodIn Study One, four USA or UK samples (total n = 2396) were used to depict the trait resilience network. Study Two (n = 1091) examined the relationship between the network and disturbance at two time‐points, using mental health levels as a disturbance metric.ResultsStudy One found that adaptive capacity, and sometimes positive emotional processes, were central variables to the network. Study Two found that in lower disturbance groups, adaptive capacity remained important, while in higher disturbance groups, a broader set of variables became central to the network.ConclusionsStudy One suggests a Broaden‐and‐Build approach, where adaptive capacity is a foundational resilience capability, reciprocally associated with positive emotional mechanisms. Study Two suggests a new “Dynamic Resilience Spectrum Theory,” proposing that increased disturbances necessitate the use of a more diverse set of resilience traits.

中文翻译：

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网络特质恢复力：从生态系统理论的角度统一分散的特质恢复力系统

目的本研究重新概念化了特质复原力，将其定义为一个系统网络；利用直接复原力评估（工程、生态、适应能力、社会凝聚力）和代理复原力评估（个性、认知、情感、幸福和健康）。背景该研究的背景通过提出一个基于统一网络模型来解决特质复原力的碎片化概念。方法在研究一中，四个美国或英国样本（总计n= 2396）用于描述特质复原力网络。研究二（n= 1091）使用心理健康水平作为干扰指标，检查了两个时间点的网络与干扰之间的关系。结果研究一发现，适应能力，有时是积极的情绪过程，是网络的中心变量。研究二发现，在较低干扰群体中，适应能力仍然很重要，而在较高干扰群体中，更广泛的变量集成为网络的核心。结论研究一提出了一种扩展和构建方法，其中适应能力是一种基本的恢复能力，与积极的情绪机制相互关联。研究二提出了一种新的“动态弹性谱理论”，提出增加干扰需要使用更多样化的弹性特征。